As per my knowledge JMP is better in case of discrete choice experiment design without prior knowledge. JMP-11 is very user friendly and straight forward.
In your research, for the experimental design and statistical analysis, you can use “Design-Expert” software. I explain that step by step in my article. You can see my new publication in below link.
Also, you can use "Taguchi method" for your research purpose.
I hope my articles; help you in your research field.
R has a package "support.CEs" that can also design discrete choice experiments. Here is the reference: Aizaki, Hideo. "Basic functions for supporting an implementation of choice experiments in R." Journal of statistical software 50 (2012): 1-24.
Here is the link: https://www.jstatsoft.org/article/view/v050c02
Please note I had to install all the dependent packages manually. Otherwise, it seems to have worked fine so far.
Ngene has been used in many academic publications. I am also planning to use it for my Phd research though it is bit expensive and I didn't find any mac version of the software. Please download and read the manual from "http://www.choice-metrics.com/NgeneManual120.pdf". Hope this helps.